42AI Lab
Applied AI projects with mentorship, peer review, and portfolio visibility. Build real solutions, learn by doing, and share your work with the community.
What is the AI Lab?
The 42AI Lab is a collaborative space where students work on applied AI projects with guidance from mentors and peers. Projects range from research prototypes to production-ready solutions, covering computer vision, natural language processing, reinforcement learning, MLOps, and more.
Each project follows a structured process from ideation to publication, ensuring quality deliverables and meaningful learning experiences. Whether you're building a research paper, an open-source tool, or a portfolio piece, the Lab provides the framework and support to make it happen.
Build real deliverables
Focus on creating tangible outputs that solve real problems and can be showcased in portfolios.
Learn by doing
Combine mentorship with peer review to accelerate learning through hands-on experience.
Share openly
Make projects visible through portfolios, open-source contributions, and public demos.
How it works
Idea & scope
Define project goals, requirements, and success criteria with mentors.
Data & baseline
Gather datasets, establish baselines, and set up the development environment.
Build & iterate
Develop the solution with regular code reviews, testing, and iterative improvements.
Demo & publish
Present results, publish code/documentation, and share learnings with the community.
Featured projects
Computer Vision for Medical Imaging
Developing deep learning models to assist in medical image analysis, focusing on X-ray and MRI interpretation.
NLP Chatbot for Student Support
Building an intelligent chatbot using transformer models to answer common student questions and provide guidance.
MLOps Pipeline Automation
Creating an end-to-end MLOps pipeline with CI/CD, model versioning, and automated deployment.
All projects
Computer Vision for Medical Imaging
ActiveAdvancedDeveloping deep learning models to assist in medical image analysis, focusing on X-ray and MRI interpretation.
NLP Chatbot for Student Support
ActiveIntermediateBuilding an intelligent chatbot using transformer models to answer common student questions and provide guidance.
MLOps Pipeline Automation
CompletedAdvancedCreating an end-to-end MLOps pipeline with CI/CD, model versioning, and automated deployment.
Reinforcement Learning Game Agent
ActiveIntermediateTraining an RL agent to play classic games using Q-learning and policy gradient methods.
Time Series Forecasting Tool
ActiveIntermediateBuilding a forecasting tool for financial and weather data using LSTM and Transformer architectures.
AI-Powered Code Review Assistant
IdeaAdvancedDeveloping an AI assistant that helps review code quality, suggest improvements, and detect potential bugs.
Federated Learning Framework
ActiveAdvancedImplementing a federated learning system for privacy-preserving machine learning across distributed devices.
Sentiment Analysis API
CompletedBeginnerCreating a RESTful API for sentiment analysis of social media posts and reviews using fine-tuned BERT models.
Object Detection for Autonomous Vehicles
ActiveAdvancedBuilding real-time object detection models for autonomous vehicle navigation using YOLO and custom datasets.
Recommendation System for Learning Paths
IdeaIntermediateDeveloping a recommendation engine that suggests personalized learning paths based on student progress and goals.
Data Pipeline for Large-Scale Processing
CompletedIntermediateDesigning and implementing a scalable data pipeline using Apache Spark for processing large datasets.
Multi-Agent System Simulation
IdeaAdvancedCreating a simulation environment for multi-agent systems to study emergent behaviors and coordination.
Want to join or sponsor a project?
Whether you're a student looking to contribute or a company interested in sponsoring research, we'd love to hear from you.